Open AccessExploration and Research of Noise Automatic Processing Algorithm Based on Multi-scale Convolution Neural Network
Author(s) -
Jing Huang,
Bidong Chen,
Meijuan Tan,
Miao Liu,
Jia Chen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1961/1/012040
Subject(s) - computer science , software , noise (video) , data processing , image processing , test data , process (computing) , artificial intelligence , artificial neural network , test (biology) , algorithm , digital image processing , convolution (computer science) , machine learning , data mining , image (mathematics) , software engineering , database , programming language , paleontology , biology
This paper introduces the secondary development process of simcenter Test.Lab software. Using simcenter Test.Lab software’s multi language support and its advantages in noise test and analysis, combined with computer image recognition technology, an automatic noise processing algorithm system (LMS Test.Lab) based on Simcenter Test.Lab software test data is developed. The system is simple to use, high accuracy of data recognition, and can intelligently judge specific abnormal conditions. Engineers can use the secondary development program to do intelligent processing of specific data and automatic generation of test reports, which effectively improves the accuracy and efficiency of automatic data processing.